Master's Degree in Statistics in Kent in United Kingdom

View Masters Programs in Statistics 2018 in Kent in United Kingdom

Statistics

In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.

The MSc in Statistics provides ideas and tools used in almost all professions within the sector including banking/finance, government, medical research, the pharmaceutical industry and internet companies.

The United Kingdom of Great Britain and Northern Ireland, commonly known as the United Kingdom and Britain, is a sovereign state located off the north-western coast of continental Europe.The two most famous (and oldest) universities are Oxford and Cambridge (often referred to as Oxbridge by many Britons) England also has several other world-class institutions, including several in London (notably Imperial College, the London School of Economics, University College London and King's College London, all are part of London University)

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Master in Statistical Learning Theory

Higher School of Economics
Campus Full time 2 years September 2018 United Kingdom London Canterbury + 1 more

This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme. [+]

Masters in Statistics in Kent in United Kingdom. Programme Overview This programme stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven programme. Students participate in one or more working groups (research seminars), where they determine focus areas for an initial survey report and then solve challenges at the intersection of cutting-edge research and technology in statistical learning theory. These seminars are built on teamwork, as the tasks undertaken are so complex that they can’t be solved by one person alone. Students learn how to effectively collaborate, bringing together their diverse collective skills, competencies, and experiences to determine successful solutions for complicated issues. Programme courses are taught by leading HSE experts, including globally renowned scholars such as Dr. Yurii Nesterov, Dr. Denis Belomestny, Dr. Dmitry Vetrov, Dr. Andrei Sobolevski, Dr. Alexey Naumov, and Dr. Quentin Paris. Lectures are also delivered by Skoltech professors including Dr. Ivan Oseledets, Dr. Viktor Lempitsky, Dr. Evgeny Burnaev, and Dr. Yury Maximov. This team is rather young, but its members have already made significant research achievements. The programme actively cooperates with the Russian Academy of Sciences Institute for Information Transmission Problems, as well as with relevant faculties at Moscow State University and the Moscow Institute of Physics and Technology. Graduates go on to... [-]

MSc, MPhil, PhD - Statistics

University of Kent, School of Mathematics, Statistics & Actuarial Science
Campus Full time Part time 1 - 6 years August 2018 United Kingdom Canterbury + 1 more

With ongoing activities in areas like biological applications, statistical ecology, and nonparametric statistics, research students joining SMSAS will become part of a thriving and vibrant research community. [+]

MSc, MPhil, PhD - Statistics With ongoing activities in areas like biological applications, statistical ecology, and nonparametric statistics, research students joining SMSAS will become part of a thriving and vibrant research community. There's a well-established system of support and training, with a high level of contact between staff and research students. A very active research seminar programme further enhances the Statistics research experience. Course structure Staff research interests are diverse, and include: Bayesian statistics; bioinformatics; biometry; ecological statistics; epidemic modelling; medical statistics; nonparametric statistics and semi-parametric modelling; risk and queueing theory; shape statistics. Statistics has strong connections with a number of prestigious research universities such as Texas A&M University, the University of Texas, the University of Otago, the University of Sydney and other research institutions at home and abroad. The research interests of the group are in line with the mainstream of statistics, with emphasis on both theoretical and applied subjects. The group regularly receives research grants. The EPSRC has awarded two major grants, which support the National Centre for Statistical Ecology (NCSE), a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience. Research areas Biometry and ecological statistics Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon... [-]